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AIMA labs

Software Engineer — Backend / Full-Stack, AI Systems

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Compensation: $35k – $45k • No equity

Hiring a Software Engineer for developing and maintaining AI CMS(Clinic Management Software).

Core stack: Python, Django/FastAPI, React/Next.js, PostgreSQL, Redis, RabbitMQ, AWS. You may also work with: Kubernetes, Terraform/IaC, LLM/RAG frameworks, observability tooling and various third-party/legacy integrations.

Implementing and supporting a Clinic Management Panel that powers clinics in Malaysia - Dental, General Practice and Aesthetics. This includes general features like appointments, staff handling, branches management and admin side. But also AI-enabled appointment/F.A.Q chatbot with PDPA compliance, so advanced RAG/Guardrails. Plus AI-enabled integrations with local legacy websites.

What we expect of you: Development experience, preferably before AI. Solid fundamentals in computer science, Linux and relational databases. Strong ability to code, familiarity with patterns, common concepts and Python/Javascript. Experience with, or willingness to learn and take ownership of: DevEx/Lifecycle processes, GitHub Actions, CI/CD, cloud infrastructure, Infrastructure as Code, logging/observability, etc. Ability to validate your own work in the AI era: run systems locally, test features end-to-end, inspect logs, reproduce issues, and verify that the implementation actually works. Familiarity with coding agents. Strong async and synchronous communication. You are expected to be reachable during agreed working hours, communicate blockers early, and keep the team updated on progress. Ownership: you are expected to become the go-to person for certain parts of the technology stack and application, and take responsibility for their quality and reliability.

What we offer: Opportunity to work directly with healthcare professionals and businesses, alongside open-source authors and contributors to modern AI frameworks. Potential future opportunity for Malaysia visa sponsorship, subject to mutual fit and applicable requirements. Flexible, no hard-control work culture, we care about results, not hours spent in front of your screen. Opportunity to learn and get valuable experience with technologies like kubernetes, agentic frameworks in production, infrastructure as code and similar.

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